Staff Engineer - AI Agents

7‑Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation — working hard to be the customer's first choice. 7‑Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.

7‑Eleven is looking for a Staff Engineer - Agents to join the Enterprise AI Team! At 7‑Eleven Enterprise AI Team, we’re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on.

You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on the latest technology to create awesome AI products that millions of people will experience every day.

Staff Engineers at 7‑Eleven have a large amount of experience across multiple areas and lead system architecture, guiding developers and communicating progress against the technical roadmap and backlog. They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators. They actively coach and mentor developers on their development team and can identify and resolve issues with technology and software development processes.

As a Staff Engineer, you will not only help teams navigate technical problems but grow and coach developers on your team to write scalable, resilient, and robust software and systems. Most engineers will typically spend up to 30‑50% of their time designing and building software, with the remaining time committed to architecting/planning, mentoring, and technical exploration.

• Lead the design, development, and implementation of advanced agent‑ic systems and algorithms.
• Architect, design, develop, and deploy AI models across traditional and agent‑ic solutions.
• Build and deploy high‑impact, robust AI pipelines, including data extraction, feature development, model training, testing, and deployment.
• Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across multiple regions and product areas.
• Conduct thorough exploratory data analysis, identify patterns and trends, and draw meaningful insights.
• Learn and partner with peers across multiple disciplines, such as Data Engineering, Product and Platform.
• Monitor and maintain production models, ensuring their continued performance and reliability.
• Evaluate and grow technical talent throughout the AI team, with a focus on subject‑matter expertise.
• Represent the Enterprise AI teams in cross‑functional meetings with other technical teams.
• Stay up to date with emerging technologies and learn new technologies/libraries/frameworks.
• Deliver on time with a high bar on quality of research, innovation and engineering.

• 6+ years of experience working in a technical AI role, with 2 to 3 years in a senior technical AI role.
• 4+ years of experience building AI models and solutions from research to production, using common ML frameworks like scikit‑learn, Tensor Flow, PyTorch, Lang Chain/Lang Graph etc.
• 2+ years of experience building LLM‑based Chat and Agent‑ic Assistants, and building scalable products for 1000+ users.
• 2+ years of experience reviewing and refining AI architecture and conducting code reviews.
• 2+ years of experience leading a team of engineers in a technical lead capacity.
• Experience with major cloud platforms (AWS/GCP/Azure), building and deploying scalable AI systems.
• Strong understanding of LLM models, LLM Engineering architecture and ecosystem, including context, tools, skills, harness etc., with demonstrated delivery.
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.

• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Experience with…